Data Science Tech Brief By HackerNoon
How We Built a Per-Plant CO2 Dataset for 4,551 Power Stations Worldwide
25 June 2026 4:58 HackerNoon
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This story was originally published on HackerNoon at: <a href="https://hackernoon.com/how-we-built-a-per-plant-co2-dataset-for-4551-power-stations-worldwide">https://hackernoon.com/how-we-built-a-per-plant-co2-dataset-for-4551-power-stations-worldwide</a>.
<br> An open dataset of 4,551 power stations: measured + modelled CO2, fuel, owner, capacity and climate zone. How we built it in Python, and the honest limits. <br>
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This story was written by: <a href="https://hackernoon.com/u/dmytroah">@dmytroah</a>. Learn more about this writer by checking <a href="https://hackernoon.com/about/dmytroah">@dmytroah's</a> about page,
and for more stories, please visit <a href="https://hackernoon.com">hackernoon.com</a>.
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The authors built and openly published a dataset covering 4,551 power stations worldwide, combining emissions, ownership, capacity, fuel type, and climate-zone data into a single schema. The project's central finding is that only about 15% of plant-level emissions data comes from direct measurements, while the remaining 85% relies on modelled estimates, making provenance and transparency critical for anyone working with emissions datasets.
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